Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:

Use OAuth to access Twitter data

Create and analyze graphs of retweet relationships

Use the streaming API to harvest tweets in realtime

Harvest and analyze friends and followers

Discover friendship cliques

Summarize webpages from short URLs

This book is a perfect companion to O’Reilly's Mining the Social Web.

About the AuthorMatthew Russell, Vice President of Engineering at Digital Reasoning Systems (http://www.digitalreasoning.com/) and Principal at Zaffra (http://zaffra.com), is a computer scientist who is passionate about data mining, open source, and web application technologies. He’s also the author of Dojo: The Definitive Guide (O’Reilly).